Professional Overview
I'm an AI Training and Quality professional with 800+ hours of hands-on experience in AI model training, evaluation, quality control, and human-data operations at Micro1. I started as a Mechanical Engineering Domain Expert and progressed into QC reviewing and team coordination responsibilities across six confidential AI projects. My experience includes evaluating AI-generated responses against detailed rubrics, testing agentic workflows across 18 connectors, reviewing trainer submissions, identifying quality gaps, and improving evaluation consistency. I've also coordinated 4–5 expert teams, managed task allocation and delivery timelines, conducted performance reviews, supported onboarding, and developed improvement plans. On the technical side, I work with Python, SQL, Snowflake, data analysis, and KPI dashboards to monitor quality, productivity, and operational performance. My background includes an MSc in Advanced Mechanical Engineering and experience in engineering, reliability analysis, and risk assessment. I'm particularly interested in AI Operations, AI Quality Assurance, Model Evaluation, Human Data Operations, and AI Team Leadership roles.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Conducted AI model training and evaluation using structured rubrics.
- Reviewed trainer submissions for accuracy, consistency and quality.
- Coordinated 4–5 expert teams, managing tasks and delivery timelines.
- Conducted performance reviews and provided targeted trainer feedback.
- Built SQL dashboards to track quality, productivity and rework.
Key Achievements / KPIs
- Completed 800+ hours of AI training and model evaluation.
- Contributed to six confidential AI training projects.
- Served as QC reviewer across three projects for approximately five months.
- Coordinated four to five expert teams across project delivery.
Education
Field of Study: Mechanical Engineering
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
